2024
Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine
Crowe B, Shah S, Teng D, Ma S, DeCamp M, Rosenberg E, Rodriguez J, Collins B, Huber K, Karches K, Zucker S, Kim E, Rotenstein L, Rodman A, Jones D, Richman I, Henry T, Somlo D, Pitts S, Chen J, Mishuris R. Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine. Journal Of General Internal Medicine 2024, 40: 694-702. PMID: 39531100, PMCID: PMC11861482, DOI: 10.1007/s11606-024-09102-0.Peer-Reviewed Original ResearchSociety of General Internal MedicineGeneral internal medicineHealthcare organizationsClinical workforceInternal medicinePatient-physician relationshipDomain of medical practiceGenerative AIPractice of medicineClinical decision-makingImprove careGenerative artificial intelligenceHealthcareTherapeutic relationshipPosition statementMedical practiceArtificial intelligenceDomain of healthcareLong-term impactCliniciansBiomedical advancesEquity considerationsWorkforceMedicineUnintended consequences
2019
The Yale Center for Biomedical Innovation and Technology (CBIT)
Siefert AL, Cartiera MS, Khalid AN, Nantel MC, Loose CR, Schulam PG, Saltzman WM, Dempsey MK. The Yale Center for Biomedical Innovation and Technology (CBIT). Academic Medicine 2019, Publish Ahead of Print: &na;. PMID: 30520807, DOI: 10.1097/acm.0000000000002542.Peer-Reviewed Original Research
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